Toward privacy in IoT mobile devices for activity recognition

Author:

Jourdan Théo1,Boutet Antoine2,Frindel Carole1

Affiliation:

1. Univ Lyon, INSA Lyon, CNRS, Inserm, VILLEURBANNE, France

2. Univ Lyon, INSA Lyon, Inria, CITI, VILLEURBANNE, France

Publisher

ACM

Reference41 articles.

1. G. Acs and C. Castelluccia. 2014. A case study: Privacy preserving release of spatio-temporal density in paris. In KDD. 1679--1688. 10.1145/2623330.2623361 G. Acs and C. Castelluccia. 2014. A case study: Privacy preserving release of spatio-temporal density in paris. In KDD. 1679--1688. 10.1145/2623330.2623361

2. D. Anguita A. Ghio L. Oneto X. Parra and J. L. Reyes-Ortiz. 2013. A Public Domain Dataset for Human Activity Recognition using Smartphones.. In ESANN. D. Anguita A. Ghio L. Oneto X. Parra and J. L. Reyes-Ortiz. 2013. A Public Domain Dataset for Human Activity Recognition using Smartphones.. In ESANN.

3. D. Aranki and R. Bajcsy. 2015. Private Disclosure of Information in Health Tele-monitoring. CoRR abs/1504.07313 (2015). D. Aranki and R. Bajcsy. 2015. Private Disclosure of Information in Health Tele-monitoring. CoRR abs/1504.07313 (2015).

4. R. Assam M. Hassani and T. Seidl. 2013. Differential Private Trajectory Obfuscation. In MOBIQUITOUS. 139--151. R. Assam M. Hassani and T. Seidl. 2013. Differential Private Trajectory Obfuscation. In MOBIQUITOUS. 139--151.

5. Inference Attacks against Kin Genomic Privacy

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